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Public Evidence Packet

Microsoft - Privacy Statement

Privacy Statement

be2f44f8-2b14-4c73-bfa4-15d44d157c04
Screening date
23 Sept 2026, 17:16 UTC
Jurisdiction
EU
Risk screening
High · 7/10
Score trace
0 points; unchanged

This packet records PolicyWatcher evidence and AI-assisted screening for one public change. It is not legal advice, a compliance verdict, a certification, or proof that the external source remains unchanged.

  1. 01Source evidence
  2. 02Explainability
  3. 03Governance Relevance
  4. 04Report Output
01

Dataset QA · sanitized public view

Source evidence

Publication gate
Published
Retrieval state
Recorded retrieval available
Latest retrieval
23 Sept 2026, 17:16 UTC
Sanitized channel
direct
Data status
Available
Public snapshot evidence
Available

Public snapshot fingerprints

Previous · version 2ebb4c380a7ff6968ecdf966c968efd3dbf3248f73f4bb5f5a14735d7a84f5730Captured 01 Aug 2026, 04:33 UTC
Current · version 3d07ae52134ab19eff68fa322c7d3f8e07e051f8000455c5e793590653cb3576cCaptured 23 Sept 2026, 17:16 UTC

Source confidence describes recorded retrieval and publication state. It does not rate the provider policy or certify source authenticity.

02

Source-anchored screening trace

Explainability

Microsoft's updated policy clarifies device data collection, but still allows extensive data use, including biometrics and AI training, without explicit opt-out.

  1. Reason 1+1 score contribution

    Device data collection scope clarified to include website/app interactions.

    Related KPI
    Data collection
    Source side
    new snapshot
    Verified exact source passage

    “Device and usage data. Data about your device and product features you use, hardware and software details, product performance, your interactions with our websites and apps, and your settings.”

  2. Reason 2+2 score contribution

    Extensive collection of personal data, including biometric identifiers.

    Related KPI
    Data collection
    Source side
    old snapshot
    Verified exact source passage

    “Biometric data. Unique data about you from specific technical processing related to your physical, physiological, or behavioural characteristics to verify or confirm your identity.”

  3. Reason 3+3 score contribution

    User data may be used to train AI models, including LLMs, without clear opt-out.

    Related KPI
    AI training opt-out
    Source side
    old snapshot
    Verified exact source passage

    “As part of our efforts to improve and develop our products, we may use your data to develop, train, and fine-tune our AI models, including large language models (LLMs).”

Score reasons and deltaScore values are stored AI-assisted screening outputs. Verified anchors confirm only that the quoted passage occurs in the named snapshot; they do not prove the interpretation.

03

Advisory review map

Governance Relevance

EU AI Act

Official Journal text, 2024

Mapped evidence

Which recorded policy statements may be relevant to transparency, automated decisions, data use and human oversight review?

AI training opt-out
Not Available
Algorithmic transparency
Opaque
Automated decisions
Partial
AI bias and fairness
Absent
Framework source

ISO/IEC 42001

ISO/IEC 42001:2023 overview

Mapped evidence

Which recorded policy statements may inform an AI management-system review of transparency, risk oversight and independent assurance?

Algorithmic transparency
Opaque
AI bias and fairness
Absent
Independent audit
Absent
Regulatory compliance
Comprehensive
Framework source

NIST AI RMF

AI RMF 1.0; NIST revision in progress, checked 2026-07-29

Mapped evidence

Which recorded policy statements may support Govern, Map, Measure or Manage review questions?

Algorithmic transparency
Opaque
Automated decisions
Partial
AI bias and fairness
Absent
Content moderation
Partial
Framework source

OECD AI Principles

OECD AI Principles, updated 2024

Mapped evidence

Which recorded policy statements may be relevant to transparency, fairness, accountability and user agency review?

Consent mechanism
Implicit
Algorithmic transparency
Opaque
AI bias and fairness
Absent
Independent audit
Absent
Framework source

Mappings identify review relevance between recorded PolicyWatcher KPI fields and framework topics. They are not legal interpretations, conformity assessments, certifications or compliance verdicts.

04

Exact change-bound files

Report Output

Both files are generated from this exact change ID.

Download exact-change PDF Download exact-change JSON
Packet content digest · SHA-25655a7045e3e5d69b24ba5594076f846fbaec0abae407d93f8f71ba3649fffec29

Questions before reuse

  1. Does the original Privacy Statement source still match the recorded public snapshot version 3?
  2. Do the cited source passages support each displayed reason, KPI value and regional note?
  3. Which advisory framework topics require specialist legal, risk or governance review for this use case?
  4. Has a later public change superseded this packet before it is reused in a decision or publication?